Overview

Dataset statistics

Number of variables34
Number of observations2180
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory579.2 KiB
Average record size in memory272.1 B

Variable types

Categorical6
Numeric27
TimeSeries1

Alerts

datetime has a high cardinality: 2180 distinct valuesHigh cardinality
Bukit Merah is highly overall correlated with CentralHigh correlation
Central is highly overall correlated with Bukit Merah and 3 other fieldsHigh correlation
Changi is highly overall correlated with CentralHigh correlation
Geylang is highly overall correlated with Central and 1 other fieldsHigh correlation
Kallang is highly overall correlated with CentralHigh correlation
Tampines is highly overall correlated with Woodlands and 1 other fieldsHigh correlation
Woodlands is highly overall correlated with TampinesHigh correlation
Yishun is highly overall correlated with TampinesHigh correlation
Kembangan is highly overall correlated with GeylangHigh correlation
Bidadari is highly imbalanced (78.7%)Imbalance
Kembangan is highly imbalanced (82.8%)Imbalance
Novena is highly imbalanced (75.6%)Imbalance
Whampoa is highly imbalanced (83.2%)Imbalance
Woodland is highly imbalanced (88.8%)Imbalance
Central is non stationaryNon stationary
Central is seasonalSeasonal
datetime is uniformly distributedUniform
datetime has unique valuesUnique
Ang Mo Kio has 1403 (64.4%) zerosZeros
Bedok has 1327 (60.9%) zerosZeros
Bishan has 1568 (71.9%) zerosZeros
Bukit Batok has 1463 (67.1%) zerosZeros
Bukit Merah has 1151 (52.8%) zerosZeros
Bukit Panjang has 1551 (71.1%) zerosZeros
Bukit Timah has 1742 (79.9%) zerosZeros
Central has 1070 (49.1%) zerosZeros
Changi has 1777 (81.5%) zerosZeros
Choa Chu Kang has 1475 (67.7%) zerosZeros
Clementi has 1705 (78.2%) zerosZeros
Geylang has 1344 (61.7%) zerosZeros
Hougang has 1232 (56.5%) zerosZeros
Jurong East has 1332 (61.1%) zerosZeros
Jurong West has 1252 (57.4%) zerosZeros
Kallang has 1382 (63.4%) zerosZeros
Marine Parade has 1746 (80.1%) zerosZeros
Pasir Ris has 1308 (60.0%) zerosZeros
Punggol has 1303 (59.8%) zerosZeros
Queenstown has 1319 (60.5%) zerosZeros
Sembawang has 1596 (73.2%) zerosZeros
Sengkang has 1219 (55.9%) zerosZeros
Sentosa has 1648 (75.6%) zerosZeros
Serangoon has 1481 (67.9%) zerosZeros
Tampines has 955 (43.8%) zerosZeros
Toa Payoh has 1590 (72.9%) zerosZeros
Woodlands has 1317 (60.4%) zerosZeros
Yishun has 1351 (62.0%) zerosZeros

Reproduction

Analysis started2023-06-08 04:16:00.421435
Analysis finished2023-06-08 04:18:10.814378
Duration2 minutes and 10.39 seconds
Software versionpandas-profiling v0.0.dev0
Download configurationconfig.json

Variables

datetime
Categorical

HIGH CARDINALITY  UNIFORM  UNIQUE 

Distinct2180
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
2021-09-24 00:00:00
 
1
2021-11-23 16:00:00
 
1
2021-11-23 10:00:00
 
1
2021-11-23 11:00:00
 
1
2021-11-23 12:00:00
 
1
Other values (2175)
2175 

Length

Max length19
Median length19
Mean length19
Min length19

Characters and Unicode

Total characters41420
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2180 ?
Unique (%)100.0%

Sample

1st row2021-09-24 00:00:00
2nd row2021-09-24 01:00:00
3rd row2021-09-24 02:00:00
4th row2021-09-24 03:00:00
5th row2021-09-24 04:00:00

Common Values

ValueCountFrequency (%)
2021-09-24 00:00:00 1
 
< 0.1%
2021-11-23 16:00:00 1
 
< 0.1%
2021-11-23 10:00:00 1
 
< 0.1%
2021-11-23 11:00:00 1
 
< 0.1%
2021-11-23 12:00:00 1
 
< 0.1%
2021-11-23 13:00:00 1
 
< 0.1%
2021-11-23 14:00:00 1
 
< 0.1%
2021-11-23 15:00:00 1
 
< 0.1%
2021-11-23 17:00:00 1
 
< 0.1%
2021-11-19 19:00:00 1
 
< 0.1%
Other values (2170) 2170
99.5%

Length

2023-06-08T12:18:10.919616image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
04:00:00 91
 
2.1%
19:00:00 91
 
2.1%
01:00:00 91
 
2.1%
02:00:00 91
 
2.1%
03:00:00 91
 
2.1%
05:00:00 91
 
2.1%
06:00:00 91
 
2.1%
07:00:00 91
 
2.1%
08:00:00 91
 
2.1%
09:00:00 91
 
2.1%
Other values (105) 3450
79.1%

Most occurring characters

ValueCountFrequency (%)
0 13858
33.5%
1 7054
17.0%
2 6472
15.6%
- 4360
 
10.5%
: 4360
 
10.5%
2180
 
5.3%
3 580
 
1.4%
9 566
 
1.4%
4 398
 
1.0%
6 398
 
1.0%
Other values (3) 1194
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30520
73.7%
Dash Punctuation 4360
 
10.5%
Other Punctuation 4360
 
10.5%
Space Separator 2180
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13858
45.4%
1 7054
23.1%
2 6472
21.2%
3 580
 
1.9%
9 566
 
1.9%
4 398
 
1.3%
6 398
 
1.3%
5 398
 
1.3%
7 398
 
1.3%
8 398
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 4360
100.0%
Other Punctuation
ValueCountFrequency (%)
: 4360
100.0%
Space Separator
ValueCountFrequency (%)
2180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41420
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 13858
33.5%
1 7054
17.0%
2 6472
15.6%
- 4360
 
10.5%
: 4360
 
10.5%
2180
 
5.3%
3 580
 
1.4%
9 566
 
1.4%
4 398
 
1.0%
6 398
 
1.0%
Other values (3) 1194
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41420
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 13858
33.5%
1 7054
17.0%
2 6472
15.6%
- 4360
 
10.5%
: 4360
 
10.5%
2180
 
5.3%
3 580
 
1.4%
9 566
 
1.4%
4 398
 
1.0%
6 398
 
1.0%
Other values (3) 1194
 
2.9%

Ang Mo Kio
Real number (ℝ)

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71284404
Minimum0
Maximum12
Zeros1403
Zeros (%)64.4%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:11.112320image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3139978
Coefficient of variation (CV)1.8433174
Kurtosis12.111733
Mean0.71284404
Median Absolute Deviation (MAD)0
Skewness2.9124419
Sum1554
Variance1.7265903
MonotonicityNot monotonic
2023-06-08T12:18:11.289954image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1403
64.4%
1 400
 
18.3%
2 193
 
8.9%
3 81
 
3.7%
4 58
 
2.7%
5 16
 
0.7%
6 11
 
0.5%
7 8
 
0.4%
8 6
 
0.3%
12 2
 
0.1%
Other values (2) 2
 
0.1%
ValueCountFrequency (%)
0 1403
64.4%
1 400
 
18.3%
2 193
 
8.9%
3 81
 
3.7%
4 58
 
2.7%
5 16
 
0.7%
6 11
 
0.5%
7 8
 
0.4%
8 6
 
0.3%
9 1
 
< 0.1%
ValueCountFrequency (%)
12 2
 
0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 6
 
0.3%
7 8
 
0.4%
6 11
 
0.5%
5 16
 
0.7%
4 58
 
2.7%
3 81
3.7%
2 193
8.9%

Bedok
Real number (ℝ)

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.83394495
Minimum0
Maximum16
Zeros1327
Zeros (%)60.9%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:11.405735image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.4804661
Coefficient of variation (CV)1.7752563
Kurtosis14.755428
Mean0.83394495
Median Absolute Deviation (MAD)0
Skewness3.0746034
Sum1818
Variance2.1917797
MonotonicityNot monotonic
2023-06-08T12:18:11.561234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 1327
60.9%
1 405
 
18.6%
2 223
 
10.2%
3 102
 
4.7%
4 61
 
2.8%
5 22
 
1.0%
6 18
 
0.8%
8 9
 
0.4%
7 4
 
0.2%
12 3
 
0.1%
Other values (3) 6
 
0.3%
ValueCountFrequency (%)
0 1327
60.9%
1 405
 
18.6%
2 223
 
10.2%
3 102
 
4.7%
4 61
 
2.8%
5 22
 
1.0%
6 18
 
0.8%
7 4
 
0.2%
8 9
 
0.4%
9 3
 
0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
12 3
 
0.1%
10 2
 
0.1%
9 3
 
0.1%
8 9
 
0.4%
7 4
 
0.2%
6 18
 
0.8%
5 22
 
1.0%
4 61
2.8%
3 102
4.7%

Bidadari
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2006 
1
 
121
2
 
43
3
 
6
4
 
4

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2180
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2006
92.0%
1 121
 
5.6%
2 43
 
2.0%
3 6
 
0.3%
4 4
 
0.2%

Length

2023-06-08T12:18:11.705490image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-06-08T12:18:11.853605image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2006
92.0%
1 121
 
5.6%
2 43
 
2.0%
3 6
 
0.3%
4 4
 
0.2%

Most occurring characters

ValueCountFrequency (%)
0 2006
92.0%
1 121
 
5.6%
2 43
 
2.0%
3 6
 
0.3%
4 4
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2180
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2006
92.0%
1 121
 
5.6%
2 43
 
2.0%
3 6
 
0.3%
4 4
 
0.2%

Most occurring scripts

ValueCountFrequency (%)
Common 2180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2006
92.0%
1 121
 
5.6%
2 43
 
2.0%
3 6
 
0.3%
4 4
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2006
92.0%
1 121
 
5.6%
2 43
 
2.0%
3 6
 
0.3%
4 4
 
0.2%

Bishan
Real number (ℝ)

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.46330275
Minimum0
Maximum10
Zeros1568
Zeros (%)71.9%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:12.005590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum10
Range10
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.93478596
Coefficient of variation (CV)2.0176568
Kurtosis13.274018
Mean0.46330275
Median Absolute Deviation (MAD)0
Skewness2.986476
Sum1010
Variance0.87382479
MonotonicityNot monotonic
2023-06-08T12:18:12.134755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1568
71.9%
1 375
 
17.2%
2 144
 
6.6%
3 50
 
2.3%
4 33
 
1.5%
6 5
 
0.2%
5 2
 
0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 1568
71.9%
1 375
 
17.2%
2 144
 
6.6%
3 50
 
2.3%
4 33
 
1.5%
5 2
 
0.1%
6 5
 
0.2%
7 1
 
< 0.1%
8 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
8 1
 
< 0.1%
7 1
 
< 0.1%
6 5
 
0.2%
5 2
 
0.1%
4 33
 
1.5%
3 50
 
2.3%
2 144
 
6.6%
1 375
 
17.2%
0 1568
71.9%

Bukit Batok
Real number (ℝ)

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.66284404
Minimum0
Maximum12
Zeros1463
Zeros (%)67.1%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:12.306620image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.2784065
Coefficient of variation (CV)1.9286687
Kurtosis11.780139
Mean0.66284404
Median Absolute Deviation (MAD)0
Skewness2.9307819
Sum1445
Variance1.6343233
MonotonicityNot monotonic
2023-06-08T12:18:12.440026image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1463
67.1%
1 364
 
16.7%
2 181
 
8.3%
3 75
 
3.4%
4 49
 
2.2%
5 22
 
1.0%
6 12
 
0.6%
8 5
 
0.2%
7 5
 
0.2%
10 2
 
0.1%
Other values (2) 2
 
0.1%
ValueCountFrequency (%)
0 1463
67.1%
1 364
 
16.7%
2 181
 
8.3%
3 75
 
3.4%
4 49
 
2.2%
5 22
 
1.0%
6 12
 
0.6%
7 5
 
0.2%
8 5
 
0.2%
9 1
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
10 2
 
0.1%
9 1
 
< 0.1%
8 5
 
0.2%
7 5
 
0.2%
6 12
 
0.6%
5 22
 
1.0%
4 49
 
2.2%
3 75
3.4%
2 181
8.3%

Bukit Merah
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1972477
Minimum0
Maximum22
Zeros1151
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:12.577514image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile5
Maximum22
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9758969
Coefficient of variation (CV)1.650366
Kurtosis17.554972
Mean1.1972477
Median Absolute Deviation (MAD)0
Skewness3.2407728
Sum2610
Variance3.9041686
MonotonicityNot monotonic
2023-06-08T12:18:12.716395image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 1151
52.8%
1 419
 
19.2%
2 252
 
11.6%
3 137
 
6.3%
4 88
 
4.0%
5 50
 
2.3%
6 37
 
1.7%
7 13
 
0.6%
8 11
 
0.5%
10 5
 
0.2%
Other values (7) 17
 
0.8%
ValueCountFrequency (%)
0 1151
52.8%
1 419
 
19.2%
2 252
 
11.6%
3 137
 
6.3%
4 88
 
4.0%
5 50
 
2.3%
6 37
 
1.7%
7 13
 
0.6%
8 11
 
0.5%
9 4
 
0.2%
ValueCountFrequency (%)
22 1
 
< 0.1%
20 1
 
< 0.1%
16 1
 
< 0.1%
14 5
 
0.2%
12 4
 
0.2%
11 1
 
< 0.1%
10 5
 
0.2%
9 4
 
0.2%
8 11
0.5%
7 13
0.6%

Bukit Panjang
Real number (ℝ)

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.58302752
Minimum0
Maximum14
Zeros1551
Zeros (%)71.1%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:12.851589image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum14
Range14
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3037828
Coefficient of variation (CV)2.2362285
Kurtosis22.317108
Mean0.58302752
Median Absolute Deviation (MAD)0
Skewness3.9447493
Sum1271
Variance1.6998495
MonotonicityNot monotonic
2023-06-08T12:18:12.982982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 1551
71.1%
1 344
 
15.8%
2 143
 
6.6%
3 60
 
2.8%
4 35
 
1.6%
5 16
 
0.7%
6 14
 
0.6%
7 5
 
0.2%
8 3
 
0.1%
12 2
 
0.1%
Other values (4) 7
 
0.3%
ValueCountFrequency (%)
0 1551
71.1%
1 344
 
15.8%
2 143
 
6.6%
3 60
 
2.8%
4 35
 
1.6%
5 16
 
0.7%
6 14
 
0.6%
7 5
 
0.2%
8 3
 
0.1%
9 2
 
0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
12 2
 
0.1%
11 2
 
0.1%
10 2
 
0.1%
9 2
 
0.1%
8 3
 
0.1%
7 5
 
0.2%
6 14
 
0.6%
5 16
0.7%
4 35
1.6%

Bukit Timah
Real number (ℝ)

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.36422018
Minimum0
Maximum22
Zeros1742
Zeros (%)79.9%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:13.115950image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum22
Range22
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0248875
Coefficient of variation (CV)2.8139227
Kurtosis105.40381
Mean0.36422018
Median Absolute Deviation (MAD)0
Skewness7.216947
Sum794
Variance1.0503943
MonotonicityNot monotonic
2023-06-08T12:18:13.262533image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1742
79.9%
1 256
 
11.7%
2 106
 
4.9%
3 37
 
1.7%
4 21
 
1.0%
5 8
 
0.4%
8 4
 
0.2%
6 3
 
0.1%
22 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
0 1742
79.9%
1 256
 
11.7%
2 106
 
4.9%
3 37
 
1.7%
4 21
 
1.0%
5 8
 
0.4%
6 3
 
0.1%
8 4
 
0.2%
9 1
 
< 0.1%
10 1
 
< 0.1%
ValueCountFrequency (%)
22 1
 
< 0.1%
10 1
 
< 0.1%
9 1
 
< 0.1%
8 4
 
0.2%
6 3
 
0.1%
5 8
 
0.4%
4 21
 
1.0%
3 37
 
1.7%
2 106
4.9%
1 256
11.7%

Central
Numeric time series

HIGH CORRELATION  NON STATIONARY  SEASONAL  ZEROS 

Distinct53
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2646789
Minimum0
Maximum66
Zeros1070
Zeros (%)49.1%
Memory size17.2 KiB
2023-06-08T12:18:13.398878image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q35
95-th percentile21
Maximum66
Range66
Interquartile range (IQR)5

Descriptive statistics

Standard deviation8.0196603
Coefficient of variation (CV)1.880484
Kurtosis11.01443
Mean4.2646789
Median Absolute Deviation (MAD)1
Skewness2.9713048
Sum9297
Variance64.314952
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value6.543288792 × 10-5
2023-06-08T12:18:13.554581image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1070
49.1%
1 260
 
11.9%
2 134
 
6.1%
3 82
 
3.8%
4 67
 
3.1%
7 52
 
2.4%
8 49
 
2.2%
5 46
 
2.1%
6 42
 
1.9%
10 36
 
1.7%
Other values (43) 342
 
15.7%
ValueCountFrequency (%)
0 1070
49.1%
1 260
 
11.9%
2 134
 
6.1%
3 82
 
3.8%
4 67
 
3.1%
5 46
 
2.1%
6 42
 
1.9%
7 52
 
2.4%
8 49
 
2.2%
9 34
 
1.6%
ValueCountFrequency (%)
66 1
 
< 0.1%
64 1
 
< 0.1%
56 2
0.1%
53 1
 
< 0.1%
51 1
 
< 0.1%
48 1
 
< 0.1%
46 1
 
< 0.1%
45 1
 
< 0.1%
44 3
0.1%
43 3
0.1%
2023-06-08T12:18:13.764582image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ACF and PACF

Changi
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.41513761
Minimum0
Maximum14
Zeros1777
Zeros (%)81.5%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:14.039500image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1558857
Coefficient of variation (CV)2.7843435
Kurtosis24.453653
Mean0.41513761
Median Absolute Deviation (MAD)0
Skewness4.2126946
Sum905
Variance1.3360718
MonotonicityNot monotonic
2023-06-08T12:18:14.134598image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1777
81.5%
1 191
 
8.8%
2 94
 
4.3%
3 40
 
1.8%
4 39
 
1.8%
5 15
 
0.7%
6 9
 
0.4%
7 9
 
0.4%
8 4
 
0.2%
14 1
 
< 0.1%
ValueCountFrequency (%)
0 1777
81.5%
1 191
 
8.8%
2 94
 
4.3%
3 40
 
1.8%
4 39
 
1.8%
5 15
 
0.7%
6 9
 
0.4%
7 9
 
0.4%
8 4
 
0.2%
12 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
12 1
 
< 0.1%
8 4
 
0.2%
7 9
 
0.4%
6 9
 
0.4%
5 15
 
0.7%
4 39
 
1.8%
3 40
 
1.8%
2 94
4.3%
1 191
8.8%

Choa Chu Kang
Real number (ℝ)

Distinct17
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8206422
Minimum0
Maximum20
Zeros1475
Zeros (%)67.7%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:14.241164image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8140838
Coefficient of variation (CV)2.2105661
Kurtosis23.095725
Mean0.8206422
Median Absolute Deviation (MAD)0
Skewness4.0201227
Sum1789
Variance3.2909
MonotonicityNot monotonic
2023-06-08T12:18:14.379970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 1475
67.7%
1 315
 
14.4%
2 173
 
7.9%
3 68
 
3.1%
4 51
 
2.3%
5 34
 
1.6%
6 20
 
0.9%
8 12
 
0.6%
7 10
 
0.5%
10 6
 
0.3%
Other values (7) 16
 
0.7%
ValueCountFrequency (%)
0 1475
67.7%
1 315
 
14.4%
2 173
 
7.9%
3 68
 
3.1%
4 51
 
2.3%
5 34
 
1.6%
6 20
 
0.9%
7 10
 
0.5%
8 12
 
0.6%
9 5
 
0.2%
ValueCountFrequency (%)
20 1
 
< 0.1%
17 2
 
0.1%
16 1
 
< 0.1%
14 2
 
0.1%
13 1
 
< 0.1%
12 4
 
0.2%
10 6
0.3%
9 5
0.2%
8 12
0.6%
7 10
0.5%

Clementi
Real number (ℝ)

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.39587156
Minimum0
Maximum14
Zeros1705
Zeros (%)78.2%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:14.524649image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.98761557
Coefficient of variation (CV)2.4947879
Kurtosis36.450932
Mean0.39587156
Median Absolute Deviation (MAD)0
Skewness4.6338137
Sum863
Variance0.97538451
MonotonicityNot monotonic
2023-06-08T12:18:14.654830image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 1705
78.2%
1 257
 
11.8%
2 136
 
6.2%
3 43
 
2.0%
4 25
 
1.1%
8 5
 
0.2%
6 4
 
0.2%
5 3
 
0.1%
14 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
0 1705
78.2%
1 257
 
11.8%
2 136
 
6.2%
3 43
 
2.0%
4 25
 
1.1%
5 3
 
0.1%
6 4
 
0.2%
8 5
 
0.2%
12 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
12 1
 
< 0.1%
8 5
 
0.2%
6 4
 
0.2%
5 3
 
0.1%
4 25
 
1.1%
3 43
 
2.0%
2 136
 
6.2%
1 257
 
11.8%
0 1705
78.2%

Geylang
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.86009174
Minimum0
Maximum18
Zeros1344
Zeros (%)61.7%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:14.796252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5578677
Coefficient of variation (CV)1.8112809
Kurtosis14.831048
Mean0.86009174
Median Absolute Deviation (MAD)0
Skewness3.0522103
Sum1875
Variance2.4269518
MonotonicityNot monotonic
2023-06-08T12:18:14.915521image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1344
61.7%
1 387
 
17.8%
2 213
 
9.8%
3 80
 
3.7%
4 76
 
3.5%
5 35
 
1.6%
6 19
 
0.9%
8 12
 
0.6%
7 7
 
0.3%
12 3
 
0.1%
Other values (2) 4
 
0.2%
ValueCountFrequency (%)
0 1344
61.7%
1 387
 
17.8%
2 213
 
9.8%
3 80
 
3.7%
4 76
 
3.5%
5 35
 
1.6%
6 19
 
0.9%
7 7
 
0.3%
8 12
 
0.6%
10 3
 
0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
12 3
 
0.1%
10 3
 
0.1%
8 12
 
0.6%
7 7
 
0.3%
6 19
 
0.9%
5 35
 
1.6%
4 76
 
3.5%
3 80
 
3.7%
2 213
9.8%

Hougang
Real number (ℝ)

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.056422
Minimum0
Maximum16
Zeros1232
Zeros (%)56.5%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:15.044556image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.25
95-th percentile5
Maximum16
Range16
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.7709683
Coefficient of variation (CV)1.6763833
Kurtosis9.8572589
Mean1.056422
Median Absolute Deviation (MAD)0
Skewness2.6644366
Sum2303
Variance3.1363286
MonotonicityNot monotonic
2023-06-08T12:18:15.154623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 1232
56.5%
1 403
 
18.5%
2 244
 
11.2%
3 102
 
4.7%
4 77
 
3.5%
5 48
 
2.2%
6 35
 
1.6%
8 12
 
0.6%
7 11
 
0.5%
10 4
 
0.2%
Other values (5) 12
 
0.6%
ValueCountFrequency (%)
0 1232
56.5%
1 403
 
18.5%
2 244
 
11.2%
3 102
 
4.7%
4 77
 
3.5%
5 48
 
2.2%
6 35
 
1.6%
7 11
 
0.5%
8 12
 
0.6%
9 4
 
0.2%
ValueCountFrequency (%)
16 1
 
< 0.1%
14 1
 
< 0.1%
12 3
 
0.1%
11 3
 
0.1%
10 4
 
0.2%
9 4
 
0.2%
8 12
 
0.6%
7 11
 
0.5%
6 35
1.6%
5 48
2.2%

Jurong East
Real number (ℝ)

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0114679
Minimum0
Maximum15
Zeros1332
Zeros (%)61.1%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:15.284465image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8728163
Coefficient of variation (CV)1.8515825
Kurtosis11.651649
Mean1.0114679
Median Absolute Deviation (MAD)0
Skewness2.9711377
Sum2205
Variance3.5074407
MonotonicityNot monotonic
2023-06-08T12:18:15.436525image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1332
61.1%
1 340
 
15.6%
2 217
 
10.0%
3 94
 
4.3%
4 73
 
3.3%
5 45
 
2.1%
6 34
 
1.6%
7 11
 
0.5%
8 8
 
0.4%
10 7
 
0.3%
Other values (6) 19
 
0.9%
ValueCountFrequency (%)
0 1332
61.1%
1 340
 
15.6%
2 217
 
10.0%
3 94
 
4.3%
4 73
 
3.3%
5 45
 
2.1%
6 34
 
1.6%
7 11
 
0.5%
8 8
 
0.4%
9 6
 
0.3%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 3
 
0.1%
13 1
 
< 0.1%
12 5
 
0.2%
11 3
 
0.1%
10 7
 
0.3%
9 6
 
0.3%
8 8
 
0.4%
7 11
 
0.5%
6 34
1.6%

Jurong West
Real number (ℝ)

Distinct22
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3174312
Minimum0
Maximum26
Zeros1252
Zeros (%)57.4%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:15.576639image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum26
Range26
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5773342
Coefficient of variation (CV)1.9563331
Kurtosis18.790085
Mean1.3174312
Median Absolute Deviation (MAD)0
Skewness3.6369973
Sum2872
Variance6.6426515
MonotonicityNot monotonic
2023-06-08T12:18:15.714273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 1252
57.4%
1 367
 
16.8%
2 198
 
9.1%
3 106
 
4.9%
4 83
 
3.8%
5 37
 
1.7%
6 32
 
1.5%
7 23
 
1.1%
8 22
 
1.0%
9 14
 
0.6%
Other values (12) 46
 
2.1%
ValueCountFrequency (%)
0 1252
57.4%
1 367
 
16.8%
2 198
 
9.1%
3 106
 
4.9%
4 83
 
3.8%
5 37
 
1.7%
6 32
 
1.5%
7 23
 
1.1%
8 22
 
1.0%
9 14
 
0.6%
ValueCountFrequency (%)
26 1
 
< 0.1%
24 2
 
0.1%
22 1
 
< 0.1%
20 1
 
< 0.1%
17 1
 
< 0.1%
16 4
0.2%
15 1
 
< 0.1%
14 9
0.4%
13 1
 
< 0.1%
12 5
0.2%

Kallang
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8146789
Minimum0
Maximum11
Zeros1382
Zeros (%)63.4%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:15.849262image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum11
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5028091
Coefficient of variation (CV)1.8446643
Kurtosis9.5064497
Mean0.8146789
Median Absolute Deviation (MAD)0
Skewness2.7528182
Sum1776
Variance2.2584352
MonotonicityNot monotonic
2023-06-08T12:18:15.964004image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1382
63.4%
1 375
 
17.2%
2 194
 
8.9%
3 96
 
4.4%
4 56
 
2.6%
6 28
 
1.3%
5 23
 
1.1%
7 9
 
0.4%
8 7
 
0.3%
10 5
 
0.2%
Other values (2) 5
 
0.2%
ValueCountFrequency (%)
0 1382
63.4%
1 375
 
17.2%
2 194
 
8.9%
3 96
 
4.4%
4 56
 
2.6%
5 23
 
1.1%
6 28
 
1.3%
7 9
 
0.4%
8 7
 
0.3%
9 3
 
0.1%
ValueCountFrequency (%)
11 2
 
0.1%
10 5
 
0.2%
9 3
 
0.1%
8 7
 
0.3%
7 9
 
0.4%
6 28
 
1.3%
5 23
 
1.1%
4 56
 
2.6%
3 96
4.4%
2 194
8.9%

Kembangan
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2044 
1
 
101
2
 
30
3
 
4
8
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2180
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2044
93.8%
1 101
 
4.6%
2 30
 
1.4%
3 4
 
0.2%
8 1
 
< 0.1%

Length

2023-06-08T12:18:16.075385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-06-08T12:18:16.231537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2044
93.8%
1 101
 
4.6%
2 30
 
1.4%
3 4
 
0.2%
8 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 2044
93.8%
1 101
 
4.6%
2 30
 
1.4%
3 4
 
0.2%
8 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2180
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2044
93.8%
1 101
 
4.6%
2 30
 
1.4%
3 4
 
0.2%
8 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2044
93.8%
1 101
 
4.6%
2 30
 
1.4%
3 4
 
0.2%
8 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2044
93.8%
1 101
 
4.6%
2 30
 
1.4%
3 4
 
0.2%
8 1
 
< 0.1%

Marine Parade
Real number (ℝ)

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31788991
Minimum0
Maximum18
Zeros1746
Zeros (%)80.1%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:16.342813image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.84522857
Coefficient of variation (CV)2.658872
Kurtosis96.245598
Mean0.31788991
Median Absolute Deviation (MAD)0
Skewness6.5880414
Sum693
Variance0.71441133
MonotonicityNot monotonic
2023-06-08T12:18:16.441654image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1746
80.1%
1 281
 
12.9%
2 100
 
4.6%
3 27
 
1.2%
4 18
 
0.8%
6 6
 
0.3%
18 1
 
< 0.1%
5 1
 
< 0.1%
ValueCountFrequency (%)
0 1746
80.1%
1 281
 
12.9%
2 100
 
4.6%
3 27
 
1.2%
4 18
 
0.8%
5 1
 
< 0.1%
6 6
 
0.3%
18 1
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
6 6
 
0.3%
5 1
 
< 0.1%
4 18
 
0.8%
3 27
 
1.2%
2 100
 
4.6%
1 281
 
12.9%
0 1746
80.1%

Novena
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
1974 
1
 
137
2
 
56
3
 
7
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2180
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1974
90.6%
1 137
 
6.3%
2 56
 
2.6%
3 7
 
0.3%
4 6
 
0.3%

Length

2023-06-08T12:18:16.570930image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-06-08T12:18:16.689502image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 1974
90.6%
1 137
 
6.3%
2 56
 
2.6%
3 7
 
0.3%
4 6
 
0.3%

Most occurring characters

ValueCountFrequency (%)
0 1974
90.6%
1 137
 
6.3%
2 56
 
2.6%
3 7
 
0.3%
4 6
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2180
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1974
90.6%
1 137
 
6.3%
2 56
 
2.6%
3 7
 
0.3%
4 6
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Common 2180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1974
90.6%
1 137
 
6.3%
2 56
 
2.6%
3 7
 
0.3%
4 6
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1974
90.6%
1 137
 
6.3%
2 56
 
2.6%
3 7
 
0.3%
4 6
 
0.3%

Pasir Ris
Real number (ℝ)

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9233945
Minimum0
Maximum18
Zeros1308
Zeros (%)60.0%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:16.789369image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6857537
Coefficient of variation (CV)1.8256051
Kurtosis15.513152
Mean0.9233945
Median Absolute Deviation (MAD)0
Skewness3.1887221
Sum2013
Variance2.8417654
MonotonicityNot monotonic
2023-06-08T12:18:16.930390image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 1308
60.0%
1 411
 
18.9%
2 215
 
9.9%
3 78
 
3.6%
4 76
 
3.5%
5 28
 
1.3%
6 26
 
1.2%
8 17
 
0.8%
7 8
 
0.4%
10 6
 
0.3%
Other values (5) 7
 
0.3%
ValueCountFrequency (%)
0 1308
60.0%
1 411
 
18.9%
2 215
 
9.9%
3 78
 
3.6%
4 76
 
3.5%
5 28
 
1.3%
6 26
 
1.2%
7 8
 
0.4%
8 17
 
0.8%
9 3
 
0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 1
 
< 0.1%
13 1
 
< 0.1%
11 1
 
< 0.1%
10 6
 
0.3%
9 3
 
0.1%
8 17
0.8%
7 8
 
0.4%
6 26
1.2%
5 28
1.3%

Punggol
Real number (ℝ)

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.96376147
Minimum0
Maximum30
Zeros1303
Zeros (%)59.8%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:17.041869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum30
Range30
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.8396152
Coefficient of variation (CV)1.9087868
Kurtosis40.433478
Mean0.96376147
Median Absolute Deviation (MAD)0
Skewness4.4737113
Sum2101
Variance3.3841841
MonotonicityNot monotonic
2023-06-08T12:18:17.145448image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1303
59.8%
1 387
 
17.8%
2 240
 
11.0%
3 86
 
3.9%
4 62
 
2.8%
5 31
 
1.4%
6 25
 
1.1%
7 17
 
0.8%
8 12
 
0.6%
10 6
 
0.3%
Other values (6) 11
 
0.5%
ValueCountFrequency (%)
0 1303
59.8%
1 387
 
17.8%
2 240
 
11.0%
3 86
 
3.9%
4 62
 
2.8%
5 31
 
1.4%
6 25
 
1.1%
7 17
 
0.8%
8 12
 
0.6%
9 5
 
0.2%
ValueCountFrequency (%)
30 1
 
< 0.1%
20 1
 
< 0.1%
14 2
 
0.1%
13 1
 
< 0.1%
12 1
 
< 0.1%
10 6
 
0.3%
9 5
 
0.2%
8 12
0.6%
7 17
0.8%
6 25
1.1%

Queenstown
Real number (ℝ)

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.89036697
Minimum0
Maximum12
Zeros1319
Zeros (%)60.5%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:17.254261image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum12
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.5161359
Coefficient of variation (CV)1.7028214
Kurtosis7.692504
Mean0.89036697
Median Absolute Deviation (MAD)0
Skewness2.4430126
Sum1941
Variance2.2986681
MonotonicityNot monotonic
2023-06-08T12:18:17.364413image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1319
60.5%
1 375
 
17.2%
2 226
 
10.4%
3 104
 
4.8%
4 80
 
3.7%
5 30
 
1.4%
6 19
 
0.9%
8 12
 
0.6%
7 10
 
0.5%
12 2
 
0.1%
Other values (2) 3
 
0.1%
ValueCountFrequency (%)
0 1319
60.5%
1 375
 
17.2%
2 226
 
10.4%
3 104
 
4.8%
4 80
 
3.7%
5 30
 
1.4%
6 19
 
0.9%
7 10
 
0.5%
8 12
 
0.6%
9 2
 
0.1%
ValueCountFrequency (%)
12 2
 
0.1%
10 1
 
< 0.1%
9 2
 
0.1%
8 12
 
0.6%
7 10
 
0.5%
6 19
 
0.9%
5 30
 
1.4%
4 80
 
3.7%
3 104
4.8%
2 226
10.4%

Sembawang
Real number (ℝ)

Distinct12
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49220183
Minimum0
Maximum16
Zeros1596
Zeros (%)73.2%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:17.482215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum16
Range16
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1490298
Coefficient of variation (CV)2.3344688
Kurtosis36.334876
Mean0.49220183
Median Absolute Deviation (MAD)0
Skewness4.6881779
Sum1073
Variance1.3202696
MonotonicityNot monotonic
2023-06-08T12:18:17.580892image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1596
73.2%
1 342
 
15.7%
2 145
 
6.7%
3 38
 
1.7%
4 27
 
1.2%
6 12
 
0.6%
5 10
 
0.5%
10 3
 
0.1%
7 3
 
0.1%
8 2
 
0.1%
Other values (2) 2
 
0.1%
ValueCountFrequency (%)
0 1596
73.2%
1 342
 
15.7%
2 145
 
6.7%
3 38
 
1.7%
4 27
 
1.2%
5 10
 
0.5%
6 12
 
0.6%
7 3
 
0.1%
8 2
 
0.1%
10 3
 
0.1%
ValueCountFrequency (%)
16 1
 
< 0.1%
14 1
 
< 0.1%
10 3
 
0.1%
8 2
 
0.1%
7 3
 
0.1%
6 12
 
0.6%
5 10
 
0.5%
4 27
 
1.2%
3 38
 
1.7%
2 145
6.7%

Sengkang
Real number (ℝ)

Distinct18
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2215596
Minimum0
Maximum20
Zeros1219
Zeros (%)55.9%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:17.720271image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile6
Maximum20
Range20
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.1401113
Coefficient of variation (CV)1.7519499
Kurtosis13.029477
Mean1.2215596
Median Absolute Deviation (MAD)0
Skewness3.0221073
Sum2663
Variance4.5800765
MonotonicityNot monotonic
2023-06-08T12:18:17.832123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 1219
55.9%
1 374
 
17.2%
2 230
 
10.6%
3 111
 
5.1%
4 87
 
4.0%
5 47
 
2.2%
6 43
 
2.0%
8 21
 
1.0%
7 18
 
0.8%
9 7
 
0.3%
Other values (8) 23
 
1.1%
ValueCountFrequency (%)
0 1219
55.9%
1 374
 
17.2%
2 230
 
10.6%
3 111
 
5.1%
4 87
 
4.0%
5 47
 
2.2%
6 43
 
2.0%
7 18
 
0.8%
8 21
 
1.0%
9 7
 
0.3%
ValueCountFrequency (%)
20 1
 
< 0.1%
18 1
 
< 0.1%
16 3
 
0.1%
14 4
 
0.2%
13 2
 
0.1%
12 4
 
0.2%
11 2
 
0.1%
10 6
 
0.3%
9 7
 
0.3%
8 21
1.0%

Sentosa
Real number (ℝ)

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.53944954
Minimum0
Maximum12
Zeros1648
Zeros (%)75.6%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:17.944383image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2863543
Coefficient of variation (CV)2.3845683
Kurtosis16.183775
Mean0.53944954
Median Absolute Deviation (MAD)0
Skewness3.5639278
Sum1176
Variance1.6547074
MonotonicityNot monotonic
2023-06-08T12:18:18.059745image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 1648
75.6%
1 257
 
11.8%
2 126
 
5.8%
3 59
 
2.7%
4 38
 
1.7%
6 19
 
0.9%
5 16
 
0.7%
7 6
 
0.3%
9 5
 
0.2%
8 3
 
0.1%
Other values (3) 3
 
0.1%
ValueCountFrequency (%)
0 1648
75.6%
1 257
 
11.8%
2 126
 
5.8%
3 59
 
2.7%
4 38
 
1.7%
5 16
 
0.7%
6 19
 
0.9%
7 6
 
0.3%
8 3
 
0.1%
9 5
 
0.2%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
10 1
 
< 0.1%
9 5
 
0.2%
8 3
 
0.1%
7 6
 
0.3%
6 19
 
0.9%
5 16
 
0.7%
4 38
1.7%
3 59
2.7%

Serangoon
Real number (ℝ)

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6587156
Minimum0
Maximum13
Zeros1481
Zeros (%)67.9%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:18.169698image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum13
Range13
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.3188513
Coefficient of variation (CV)2.0021558
Kurtosis15.413538
Mean0.6587156
Median Absolute Deviation (MAD)0
Skewness3.2657668
Sum1436
Variance1.7393687
MonotonicityNot monotonic
2023-06-08T12:18:18.317427image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 1481
67.9%
1 353
 
16.2%
2 169
 
7.8%
3 83
 
3.8%
4 50
 
2.3%
5 15
 
0.7%
6 10
 
0.5%
8 7
 
0.3%
7 7
 
0.3%
10 2
 
0.1%
Other values (3) 3
 
0.1%
ValueCountFrequency (%)
0 1481
67.9%
1 353
 
16.2%
2 169
 
7.8%
3 83
 
3.8%
4 50
 
2.3%
5 15
 
0.7%
6 10
 
0.5%
7 7
 
0.3%
8 7
 
0.3%
10 2
 
0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 2
 
0.1%
8 7
 
0.3%
7 7
 
0.3%
6 10
 
0.5%
5 15
 
0.7%
4 50
2.3%
3 83
3.8%

Tampines
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8637615
Minimum0
Maximum20
Zeros955
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:18.444330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7.05
Maximum20
Range20
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.7838234
Coefficient of variation (CV)1.4936586
Kurtosis7.6347171
Mean1.8637615
Median Absolute Deviation (MAD)1
Skewness2.44948
Sum4063
Variance7.7496729
MonotonicityNot monotonic
2023-06-08T12:18:18.575871image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 955
43.8%
1 402
18.4%
2 260
 
11.9%
3 156
 
7.2%
4 136
 
6.2%
5 63
 
2.9%
6 62
 
2.8%
7 37
 
1.7%
8 33
 
1.5%
10 15
 
0.7%
Other values (10) 61
 
2.8%
ValueCountFrequency (%)
0 955
43.8%
1 402
18.4%
2 260
 
11.9%
3 156
 
7.2%
4 136
 
6.2%
5 63
 
2.9%
6 62
 
2.8%
7 37
 
1.7%
8 33
 
1.5%
9 14
 
0.6%
ValueCountFrequency (%)
20 1
 
< 0.1%
19 1
 
< 0.1%
18 3
 
0.1%
16 8
0.4%
15 2
 
0.1%
14 7
0.3%
13 3
 
0.1%
12 13
0.6%
11 9
0.4%
10 15
0.7%

Toa Payoh
Real number (ℝ)

Distinct13
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.48761468
Minimum0
Maximum15
Zeros1590
Zeros (%)72.9%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:18.729411image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum15
Range15
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1349238
Coefficient of variation (CV)2.3275014
Kurtosis35.13433
Mean0.48761468
Median Absolute Deviation (MAD)0
Skewness4.6921822
Sum1063
Variance1.2880521
MonotonicityNot monotonic
2023-06-08T12:18:18.847045image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 1590
72.9%
1 352
 
16.1%
2 147
 
6.7%
3 35
 
1.6%
4 32
 
1.5%
8 7
 
0.3%
6 5
 
0.2%
5 4
 
0.2%
7 3
 
0.1%
9 2
 
0.1%
Other values (3) 3
 
0.1%
ValueCountFrequency (%)
0 1590
72.9%
1 352
 
16.1%
2 147
 
6.7%
3 35
 
1.6%
4 32
 
1.5%
5 4
 
0.2%
6 5
 
0.2%
7 3
 
0.1%
8 7
 
0.3%
9 2
 
0.1%
ValueCountFrequency (%)
15 1
 
< 0.1%
14 1
 
< 0.1%
10 1
 
< 0.1%
9 2
 
0.1%
8 7
 
0.3%
7 3
 
0.1%
6 5
 
0.2%
5 4
 
0.2%
4 32
1.5%
3 35
1.6%

Whampoa
Categorical

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2048 
1
 
100
2
 
26
4
 
3
3
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2180
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2048
93.9%
1 100
 
4.6%
2 26
 
1.2%
4 3
 
0.1%
3 3
 
0.1%

Length

2023-06-08T12:18:18.945480image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-06-08T12:18:19.073407image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2048
93.9%
1 100
 
4.6%
2 26
 
1.2%
4 3
 
0.1%
3 3
 
0.1%

Most occurring characters

ValueCountFrequency (%)
0 2048
93.9%
1 100
 
4.6%
2 26
 
1.2%
4 3
 
0.1%
3 3
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2180
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2048
93.9%
1 100
 
4.6%
2 26
 
1.2%
4 3
 
0.1%
3 3
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2048
93.9%
1 100
 
4.6%
2 26
 
1.2%
4 3
 
0.1%
3 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2048
93.9%
1 100
 
4.6%
2 26
 
1.2%
4 3
 
0.1%
3 3
 
0.1%

Woodlands
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.0394495
Minimum0
Maximum20
Zeros1317
Zeros (%)60.4%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:19.199467image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile5
Maximum20
Range20
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.9632474
Coefficient of variation (CV)1.8887375
Kurtosis16.545977
Mean1.0394495
Median Absolute Deviation (MAD)0
Skewness3.3627452
Sum2266
Variance3.8543402
MonotonicityNot monotonic
2023-06-08T12:18:19.334425image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 1317
60.4%
1 359
 
16.5%
2 196
 
9.0%
3 114
 
5.2%
4 73
 
3.3%
6 38
 
1.7%
5 33
 
1.5%
7 13
 
0.6%
8 10
 
0.5%
9 7
 
0.3%
Other values (8) 20
 
0.9%
ValueCountFrequency (%)
0 1317
60.4%
1 359
 
16.5%
2 196
 
9.0%
3 114
 
5.2%
4 73
 
3.3%
5 33
 
1.5%
6 38
 
1.7%
7 13
 
0.6%
8 10
 
0.5%
9 7
 
0.3%
ValueCountFrequency (%)
20 1
 
< 0.1%
18 1
 
< 0.1%
16 2
 
0.1%
14 2
 
0.1%
13 1
 
< 0.1%
12 5
0.2%
11 3
 
0.1%
10 5
0.2%
9 7
0.3%
8 10
0.5%

Woodland
Categorical

Distinct4
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size17.2 KiB
0
2113 
1
 
51
2
 
15
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2180
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 2113
96.9%
1 51
 
2.3%
2 15
 
0.7%
5 1
 
< 0.1%

Length

2023-06-08T12:18:19.462736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-06-08T12:18:19.577590image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0 2113
96.9%
1 51
 
2.3%
2 15
 
0.7%
5 1
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 2113
96.9%
1 51
 
2.3%
2 15
 
0.7%
5 1
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2180
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2113
96.9%
1 51
 
2.3%
2 15
 
0.7%
5 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 2180
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2113
96.9%
1 51
 
2.3%
2 15
 
0.7%
5 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2180
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2113
96.9%
1 51
 
2.3%
2 15
 
0.7%
5 1
 
< 0.1%

Yishun
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.91238532
Minimum0
Maximum18
Zeros1351
Zeros (%)62.0%
Negative0
Negative (%)0.0%
Memory size17.2 KiB
2023-06-08T12:18:19.697402image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum18
Range18
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.7141082
Coefficient of variation (CV)1.8787108
Kurtosis13.162554
Mean0.91238532
Median Absolute Deviation (MAD)0
Skewness3.0590053
Sum1989
Variance2.9381669
MonotonicityNot monotonic
2023-06-08T12:18:19.844496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 1351
62.0%
1 378
 
17.3%
2 199
 
9.1%
3 84
 
3.9%
4 66
 
3.0%
6 31
 
1.4%
5 30
 
1.4%
8 12
 
0.6%
7 12
 
0.6%
10 9
 
0.4%
Other values (5) 8
 
0.4%
ValueCountFrequency (%)
0 1351
62.0%
1 378
 
17.3%
2 199
 
9.1%
3 84
 
3.9%
4 66
 
3.0%
5 30
 
1.4%
6 31
 
1.4%
7 12
 
0.6%
8 12
 
0.6%
9 4
 
0.2%
ValueCountFrequency (%)
18 1
 
< 0.1%
14 1
 
< 0.1%
12 1
 
< 0.1%
11 1
 
< 0.1%
10 9
 
0.4%
9 4
 
0.2%
8 12
 
0.6%
7 12
 
0.6%
6 31
1.4%
5 30
1.4%

Interactions

2023-06-08T12:18:05.014498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:04.380148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:08.628900image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:13.447593image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:18.800401image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:23.433955image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:27.600265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:32.107289image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:36.270695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:40.685023image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:45.226196image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:49.888435image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:54.419298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:58.974312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:03.549162image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:07.996182image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:12.154073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:16.428329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:20.870059image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:25.274573image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:29.635141image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:33.816291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:38.395595image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:42.876138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:47.210280image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:51.430400image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:55.831174image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:00.454348image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:05.181976image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:04.538327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:08.773376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:13.613466image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:18.977808image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:23.574690image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:27.760385image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:32.255931image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:36.437255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:40.829251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:45.413189image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:50.054321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:54.565767image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:59.146507image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:03.695089image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:08.142496image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:12.291193image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:16.566076image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:21.058363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:25.429096image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:29.803544image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:33.934870image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:38.554359image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:43.038330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:47.388985image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:51.585497image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:55.979464image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:00.614579image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:05.344127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:04.690053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:08.923877image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:13.804253image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:19.154088image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:23.760999image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:27.919594image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:32.428479image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:36.588128image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:40.982273image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:45.645310image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:50.221246image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:54.743726image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:59.304321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:03.856741image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:08.332336image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:12.463306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:16.766222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:21.237854image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:25.599291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:29.944367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:34.098337image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:38.717329image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:43.179213image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:47.528719image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:51.724321image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:56.144446image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:00.788601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:05.490640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:04.805492image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:09.064260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:13.972873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:19.305160image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:23.889725image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:28.083011image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:32.543958image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:36.730112image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:41.115868image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:45.828167image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:50.351254image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:54.890537image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:59.464341image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:03.980367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:08.471138image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:12.607242image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:16.928695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:21.408498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:25.737489image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:30.092249image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:34.249393image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:38.874346image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:43.324331image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:47.645543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:51.887123image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:56.327536image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:00.930677image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:05.655124image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:04.984184image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:09.232560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:14.156068image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:19.450287image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:24.027103image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:28.245734image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:32.707545image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:36.914129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:41.264001image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:45.991457image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:50.549129image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:55.018460image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:59.626293image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:04.134873image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:08.619179image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:12.745297image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:17.068910image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:21.572086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:25.903875image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:30.254505image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:34.412214image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:39.029149image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:43.464399image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:47.774312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:52.047939image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:56.484298image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:01.089972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:05.815974image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:05.118704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:09.374852image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:14.310885image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:19.650895image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:24.145245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:28.426848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:32.820523image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:37.059899image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:41.390318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:46.160633image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:50.677754image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:55.182219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:59.784376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:04.264460image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:08.766222image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:12.914113image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:17.211429image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
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2023-06-08T12:16:13.269940image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:18.631757image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:23.260972image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:27.475121image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:31.925565image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:36.108199image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:40.517970image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:45.036376image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:49.710807image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:54.247410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:16:58.829889image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:03.388921image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:07.847519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:12.034812image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:16.286251image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:20.703044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:25.133428image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:29.496286image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:33.699071image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:38.242386image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:42.734443image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:47.039837image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:51.230534image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:17:55.677874image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:00.262338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
2023-06-08T12:18:04.796367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Correlations

2023-06-08T12:18:20.089628image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Ang Mo KioBedokBishanBukit BatokBukit MerahBukit PanjangBukit TimahCentralChangiChoa Chu KangClementiGeylangHougangJurong EastJurong WestKallangMarine ParadePasir RisPunggolQueenstownSembawangSengkangSentosaSerangoonTampinesToa PayohWoodlandsYishunBidadariKembanganNovenaWhampoaWoodland
Ang Mo Kio1.0000.3030.2610.2890.2990.2760.1640.3090.2430.3470.2630.2850.3830.3460.3570.2400.1380.3360.3000.3200.2550.3270.1400.3470.4010.2440.3570.3690.0620.0330.1000.2180.186
Bedok0.3031.0000.2360.2810.2680.2520.2080.3080.2730.2870.2450.3070.3300.3520.3350.2860.2000.3090.2890.3020.2420.2640.1570.3080.3790.2340.3280.3280.0880.1140.0610.1120.114
Bishan0.2610.2361.0000.2040.2580.2160.1850.2980.2130.2680.1980.2570.2790.2640.3120.1810.1260.2400.2000.2970.1800.2630.1200.2880.3200.2080.2870.2840.1020.1310.1060.1240.023
Bukit Batok0.2890.2810.2041.0000.2070.3150.1560.1400.1180.3690.2080.2030.3520.2640.3990.1600.0840.3500.3720.2670.2610.3820.0170.3090.3910.1770.3860.3730.0940.0530.0480.1540.083
Bukit Merah0.2990.2680.2580.2071.0000.1790.2440.5010.3410.2540.3000.3780.2940.3640.2950.3760.2090.2550.1510.4090.2180.2260.2200.3580.3350.3290.2820.2910.1310.2630.2420.1500.060
Bukit Panjang0.2760.2520.2160.3150.1791.0000.1190.1060.1070.3690.1770.1700.3430.2680.3510.1310.0670.3350.3880.2450.2280.3840.0140.2730.3930.1420.3620.3400.1770.0870.0000.1070.233
Bukit Timah0.1640.2080.1850.1560.2440.1191.0000.3590.2550.1550.1680.2410.2290.2850.1970.2580.1440.1270.0900.2530.1460.1200.2150.2720.2270.2120.2160.1800.0000.0780.0520.0510.000
Central0.3090.3080.2980.1400.5010.1060.3591.0000.5280.2080.3430.5260.2860.4580.2540.5080.2430.1710.0270.4620.1670.0960.3870.4090.2950.3680.2610.2640.0810.4140.1380.2440.000
Changi0.2430.2730.2130.1180.3410.1070.2550.5281.0000.1740.2530.3600.2200.3760.2220.3270.1900.1470.0630.3020.1190.1330.3210.3320.2540.2690.2360.2180.0970.1500.1260.0670.000
Choa Chu Kang0.3470.2870.2680.3690.2540.3690.1550.2080.1741.0000.2340.2070.3900.3370.4510.1760.1010.3740.3440.3250.2480.4190.0590.3390.4380.2080.4380.3850.1700.1070.1160.1250.224
Clementi0.2630.2450.1980.2080.3000.1770.1680.3430.2530.2341.0000.2750.2420.3050.2670.3010.1000.2130.1560.2960.1990.1790.1950.2580.2510.2250.2680.2480.0730.1610.0550.1050.081
Geylang0.2850.3070.2570.2030.3780.1700.2410.5260.3600.2070.2751.0000.2720.3750.2920.3730.2380.2170.1110.3470.1490.1590.2700.3820.3190.2750.3050.2850.0930.5190.0900.3100.073
Hougang0.3830.3300.2790.3520.2940.3430.2290.2860.2200.3900.2420.2721.0000.3700.4270.2480.1340.3510.3590.3220.2690.3990.0940.3830.4690.2620.3920.3900.1080.0880.0370.1870.167
Jurong East0.3460.3520.2640.2640.3640.2680.2850.4580.3760.3370.3050.3750.3701.0000.3930.3680.2350.2900.2180.3650.2360.3170.2620.3830.4400.3020.3910.3980.0810.1510.1530.1850.075
Jurong West0.3570.3350.3120.3990.2950.3510.1970.2540.2220.4510.2670.2920.4270.3931.0000.2170.1110.4030.3880.3840.2820.4610.0910.3800.5000.2300.4430.4370.2130.0770.0970.0810.210
Kallang0.2400.2860.1810.1600.3760.1310.2580.5080.3270.1760.3010.3730.2480.3680.2171.0000.2100.1480.0800.3340.1770.0990.2450.3180.2560.2840.2210.2140.1040.1930.1220.1220.025
Marine Parade0.1380.2000.1260.0840.2090.0670.1440.2430.1900.1010.1000.2380.1340.2350.1110.2101.0000.1080.0990.1640.1000.0730.1400.1700.1980.1760.1660.1020.0110.1540.0630.0160.044
Pasir Ris0.3360.3090.2400.3500.2550.3350.1270.1710.1470.3740.2130.2170.3510.2900.4030.1480.1081.0000.3920.2880.2620.4190.0430.3060.4480.2270.3910.3810.0780.0380.0810.0840.121
Punggol0.3000.2890.2000.3720.1510.3880.0900.0270.0630.3440.1560.1110.3590.2180.3880.0800.0990.3921.0000.2190.2800.432-0.0590.2420.4530.1590.4130.3850.0780.0000.0000.0900.113
Queenstown0.3200.3020.2970.2670.4090.2450.2530.4620.3020.3250.2960.3470.3220.3650.3840.3340.1640.2880.2191.0000.2370.2710.1680.3710.3750.2880.3300.3330.2660.3660.1350.2200.188
Sembawang0.2550.2420.1800.2610.2180.2280.1460.1670.1190.2480.1990.1490.2690.2360.2820.1770.1000.2620.2800.2371.0000.2750.0420.2360.3150.1880.3110.2730.0180.0220.0890.1680.100
Sengkang0.3270.2640.2630.3820.2260.3840.1200.0960.1330.4190.1790.1590.3990.3170.4610.0990.0730.4190.4320.2710.2751.000-0.0130.3190.4860.2050.4200.4100.0820.0670.0000.1200.117
Sentosa0.1400.1570.1200.0170.2200.0140.2150.3870.3210.0590.1950.2700.0940.2620.0910.2450.1400.043-0.0590.1680.042-0.0131.0000.2210.1360.1980.0980.1150.0840.0870.0610.0580.000
Serangoon0.3470.3080.2880.3090.3580.2730.2720.4090.3320.3390.2580.3820.3830.3830.3800.3180.1700.3060.2420.3710.2360.3190.2211.0000.4200.2860.3740.3810.1270.2370.1020.1670.130
Tampines0.4010.3790.3200.3910.3350.3930.2270.2950.2540.4380.2510.3190.4690.4400.5000.2560.1980.4480.4530.3750.3150.4860.1360.4201.0000.2820.5090.5080.1670.0960.0910.2340.140
Toa Payoh0.2440.2340.2080.1770.3290.1420.2120.3680.2690.2080.2250.2750.2620.3020.2300.2840.1760.2270.1590.2880.1880.2050.1980.2860.2821.0000.2320.2440.1450.2570.0960.3450.154
Woodlands0.3570.3280.2870.3860.2820.3620.2160.2610.2360.4380.2680.3050.3920.3910.4430.2210.1660.3910.4130.3300.3110.4200.0980.3740.5090.2321.0000.4170.1500.0470.0730.2030.237
Yishun0.3690.3280.2840.3730.2910.3400.1800.2640.2180.3850.2480.2850.3900.3980.4370.2140.1020.3810.3850.3330.2730.4100.1150.3810.5080.2440.4171.0000.1100.0740.0780.0860.161
Bidadari0.0620.0880.1020.0940.1310.1770.0000.0810.0970.1700.0730.0930.1080.0810.2130.1040.0110.0780.0780.2660.0180.0820.0840.1270.1670.1450.1500.1101.0000.0930.0510.1260.082
Kembangan0.0330.1140.1310.0530.2630.0870.0780.4140.1500.1070.1610.5190.0880.1510.0770.1930.1540.0380.0000.3660.0220.0670.0870.2370.0960.2570.0470.0740.0931.0000.0610.2930.000
Novena0.1000.0610.1060.0480.2420.0000.0520.1380.1260.1160.0550.0900.0370.1530.0970.1220.0630.0810.0000.1350.0890.0000.0610.1020.0910.0960.0730.0780.0510.0611.0000.1030.033
Whampoa0.2180.1120.1240.1540.1500.1070.0510.2440.0670.1250.1050.3100.1870.1850.0810.1220.0160.0840.0900.2200.1680.1200.0580.1670.2340.3450.2030.0860.1260.2930.1031.0000.047
Woodland0.1860.1140.0230.0830.0600.2330.0000.0000.0000.2240.0810.0730.1670.0750.2100.0250.0440.1210.1130.1880.1000.1170.0000.1300.1400.1540.2370.1610.0820.0000.0330.0471.000

Missing values

2023-06-08T12:18:09.757245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
A simple visualization of nullity by column.
2023-06-08T12:18:10.586917image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

datetimeAng Mo KioBedokBidadariBishanBukit BatokBukit MerahBukit PanjangBukit TimahCentralChangiChoa Chu KangClementiGeylangHougangJurong EastJurong WestKallangKembanganMarine ParadeNovenaPasir RisPunggolQueenstownSembawangSengkangSentosaSerangoonTampinesToa PayohWhampoaWoodlandsWoodlandYishun
02021-09-24 00:00:00000000004000200000000000000000000
12021-09-24 01:00:00000002000000000000000020000000000
22021-09-24 02:00:00000000042000000000000000020000000
32021-09-24 03:00:00000000000000000000000000020000000
42021-09-24 04:00:00000000000000000000000000040000000
52021-09-24 05:00:00000000000000000000200000000200000
62021-09-24 06:00:00400000020000200000422002200000000
72021-09-24 07:00:00220040000000042200004220000000000
82021-09-24 08:00:00040022000020200060002002000200602
92021-09-24 09:00:00000002002000220200002020000000000
datetimeAng Mo KioBedokBidadariBishanBukit BatokBukit MerahBukit PanjangBukit TimahCentralChangiChoa Chu KangClementiGeylangHougangJurong EastJurong WestKallangKembanganMarine ParadeNovenaPasir RisPunggolQueenstownSembawangSengkangSentosaSerangoonTampinesToa PayohWhampoaWoodlandsWoodlandYishun
21702021-12-23 10:00:00000010300000010000008000100100000
21712021-12-23 11:00:00330200200030012100001120100300001
21722021-12-23 12:00:00220110100000020100000211300310000
21732021-12-23 13:00:00010100100010010510004210600300000
21742021-12-23 14:00:00100000000031023200012000401210101
21752021-12-23 15:00:00020101402120214200001110100000202
21762021-12-23 16:00:00110032602001011000001000001500200
21772021-12-23 17:00:00000111000121002200000010101010000
21782021-12-23 18:00:00000000000000000000000000000000000
21792021-12-23 19:00:00000000000000000000000000000000000